Channel Adaptive Quantization for Limited Feedback MIMO Beamforming Systems
IEEE Transactions on Signal Processing
A simple gradient sign algorithm for transmit antenna weight adaptation with feedback
IEEE Transactions on Signal Processing
Quantifying the power loss when transmit beamforming relies on finite-rate feedback
IEEE Transactions on Wireless Communications
Space-time transmit precoding with imperfect feedback
IEEE Transactions on Information Theory
On the achievable throughput of a multiantenna Gaussian broadcast channel
IEEE Transactions on Information Theory
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
MIMO Broadcast Channels With Finite-Rate Feedback
IEEE Transactions on Information Theory
On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming
IEEE Journal on Selected Areas in Communications
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In Multi-User MIMO system, full multiplexing gain relies on accurate channel knowledge provided at the transmitter, but usually it cannot be directly acquired by the transmitter. One solution is the limited feedback scheme where each user quantizes its channel with a fixed codebook and sends it back to the transmitter. There are two types of codebooks frequently discussed in IEEE 802.16e: 16e codebook and DFT codebook. Due to different design criterions, 16e codebook achieves a better performance in uncorrelated channel and DFT codebook is more suitable for correlated channel. Since the real environment is a combination of uncorrelated channel and correlated channel, we propose an adaptive code book which adapt to different channel distribution. Our adaptive codebook is constructed with both 16e and DFT codebooks, where DFT codebook is employed to reconstruct the channel spatial correlation matrix and shift 16e code book to fit the current channel. This adaptive codebook obviously outperforms both 16e and DFT codebooks in any channel distribution with only a negligible increase in overhead. Moreover, our adaptive codebook avoids complicated mathematic operation, which is very easy to be implemented in practice.